Data Acquisition and Analysis, 6 credits
Start of studies
Spring semester 2030
Form of education
Campus, Day-time, 2/5
Language
Period
2030 week 4 until 2030 week 13
Admission to the course requires taken course in Computational Engineering, 6 credits. English 6.
The course provides an introduction to experimental testing, data collection, signal analysis, and using different types of sensors. The course aims for the student to learn to make measurements for, e.g., model updating and use sensors for process monitoring, prediction, and machine learning applications.
Admission to the course requires taken course in Computational Engineering, 6 credits. English 6.
Level
A1F
Course code
MT2582